Eventual Consistency: Principles of Reactive Programming

This lecture covers the concept of eventual consistency in distributed systems, contrasting it with strong and weak consistency models. It explains how eventual consistency allows for updates to propagate over time, ensuring that all reads return the last written value. The instructor discusses the implementation of an eventually consistent store using actors in Scala, emphasizing the importance of suitable data structures like CRDTs. An example data structure, the cluster membership state, is presented as a convergent data type with conflict resolution mechanisms. The lecture provides insights into the challenges of achieving eventual consistency in distributed systems.